ApplySarthi

Gen AI Lead

Zensar

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This role on the market

117 open gen roles across 35 companies are on ApplySarthi right now, most of them in Bengaluru (19), Kolkata (4), Hyderabad (3).

What gen roles keep asking for: Generative AI (66%), AWS (60%), Python (60%), LLMs (58%), Azure (48%), Machine learning (46%), GCP (44%), PyTorch (38%) — counted across their open postings here.

AWS jobs · Azure jobs · CI/CD jobs · Docker jobs

Zensar has 266 open roles listed here.

Counted across 14 company job boards, updated as roles open and close.

Preparing for this interview

Interviews for gen roles keep coming back to Generative AI, AWS, Python, LLMs. Practise those questions before you sit with Zensar.

Questions you are likely to be asked

  1. Why do you want to join Zensar?
  2. What is your experience with Azure? Tell me one thing you learned the hard way.
  3. Walk me through a model you built, from the data to how it was used.
  4. How did you know your model was actually good, and not just good on your test set?
  5. Tell me about a time the data was messy or wrong. What did you do?

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Job Summary We are seeking an experienced Generative AI Lead to drive the strategy, architecture, development, and deployment of enterprise-grade AI solutions. The role will lead a team of AI engineers, data scientists, and application developers to build innovative solutions leveraging Large Language Models (LLMs), AI Agents, Retrieval-Augmented Generation (RAG), and intelligent automation technologies. The ideal candidate should possess strong technical expertise, leadership capabilities, stakeholder management skills, and experience delivering AI solutions at scale. Required Technical Skills Generative AI Large Language Models (LLMs) Prompt Engineering Agentic AI Retrieval-Augmented Generation (RAG) Fine-tuning and Model Evaluation Function Calling and Tool Integration AI Guardrails & Responsible AI Frameworks & Tools LangChain LangGraph LlamaIndex Semantic Kernel CrewAI AutoGen Azure AI Foundry Programming Python (Mandatory) FastAPI REST APIs Microservices Architecture Vector Databases Pinecone Weaviate ChromaDB FAISS Azure AI Search Cloud Platforms Microsoft Azure (Preferred) AWS Bedrock Google Vertex AI DevOps & MLOps GitHub Azure DevOps Docker Kubernetes CI/CD Pipelines MLflow Preferred Experience Experience delivering enterprise GenAI programs. Building AI solutions using Azure OpenAI. AI integration with SAP ECC/S4HANA, Microsoft 365, SharePoint, Teams, Salesforce, and ServiceNow. Experience in Healthcare, Pharmaceutical, Manufacturing, BFSI, or Retail domains. Managing distributed global delivery teams. Qualifications Bachelor's or Master's degree in Computer Science, AI, Data Science, Engineering, or related field. 8-15 years of overall IT experience. 3+ years of hands-on AI/ML or Generative AI experience. Azure AI Engineer, Azure OpenAI, AWS AI/ML, or equivalent certifications preferred. Key Performance Indicators (KPIs) Successful delivery of GenAI initiatives. AI adoption and business value realization. Reduction in operational effort through automation. Accuracy and reliability of AI solutions. Team capability development and innovation outcomes. Governance and compliance adherence. Ideal Candidate Profile Strong leadership and stakeholder management skills. Ability to engage CXOs and business leaders. Excellent problem-solving and analytical abilities. Experience building and leading high-performing AI teams. Strong communication and presentation skills.

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Listed on oraclehcm · posted 2026-11-12. ApplySarthi collects openings and links to application pages; the role is advertised by Zensar, not by us.